AI Research
GenPFN: An In-Context Tabular Foundation Model Approach for Augmenting Small Datasets in Engineering
An in-context model targets data scarcity in engineering design
Costly simulations and experiments limit the data available for engineering design.
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ArXiv CS.AI
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2 min
ArXiv CS.AI
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Engineering design often has limited data because simulations and experiments are costly. GenPFN explores a foundation-model approach to augmenting small tabular datasets in that setting.
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